{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "cqCt_GhvCnwY"
   },
   "source": [
    "# VQ-VAE training example\n",
    "\n",
    "Demonstration of how to train the model specified in https://arxiv.org/abs/1711.00937, using TF 2 / Sonnet 2.\n",
    "\n",
    "On Mac and Linux, simply execute each cell in turn."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "cG_1Oe4TQli2"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Requirement already satisfied: dm-sonnet in /tmp/sonnet-nb-env/lib/python3.7/site-packages (2.0.0)\r\n",
      "Requirement already satisfied: dm-tree in /tmp/sonnet-nb-env/lib/python3.7/site-packages (0.1.5)\r\n",
      "Requirement already satisfied: six>=1.12.0 in /tmp/sonnet-nb-env/lib/python3.7/site-packages (from dm-sonnet) (1.14.0)\r\n",
      "Requirement already satisfied: tabulate>=0.7.5 in /tmp/sonnet-nb-env/lib/python3.7/site-packages (from dm-sonnet) (0.8.7)\r\n",
      "Requirement already satisfied: absl-py>=0.7.1 in /tmp/sonnet-nb-env/lib/python3.7/site-packages (from dm-sonnet) (0.9.0)\r\n",
      "Requirement already satisfied: numpy>=1.16.3 in /tmp/sonnet-nb-env/lib/python3.7/site-packages (from dm-sonnet) (1.18.3)\r\n",
      "Requirement already satisfied: wrapt>=1.11.1 in /tmp/sonnet-nb-env/lib/python3.7/site-packages (from dm-sonnet) (1.12.1)\r\n"
     ]
    }
   ],
   "source": [
    "!pip install dm-sonnet dm-tree"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 51
    },
    "colab_type": "code",
    "id": "95YuC82P35Of",
    "outputId": "2247702b-178a-4c87-b2fe-da195901da6d"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "TensorFlow version 2.1.0\n",
      "Sonnet version 2.0.0\n"
     ]
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import tensorflow.compat.v2 as tf\n",
    "import tensorflow_datasets as tfds\n",
    "import tree\n",
    "\n",
    "try:\n",
    "  import sonnet.v2 as snt\n",
    "  tf.enable_v2_behavior()\n",
    "except ImportError:\n",
    "  import sonnet as snt\n",
    "\n",
    "print(\"TensorFlow version {}\".format(tf.__version__))\n",
    "print(\"Sonnet version {}\".format(snt.__version__))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "DT8fKmqQC35h"
   },
   "source": [
    "# Download Cifar10 data\n",
    "This requires a connection to the internet and will download ~160MB.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 34
    },
    "colab_type": "code",
    "id": "mR0lkHXDC3Pz",
    "outputId": "fbbb16d5-0ad3-466d-bd03-50e9872c35f7"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'image': 'uint8[60000, 32, 32, 3]'}"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cifar10 = tfds.as_numpy(tfds.load(\"cifar10:3.0.2\", split=\"train+test\", batch_size=-1))\n",
    "cifar10.pop(\"id\", None)\n",
    "cifar10.pop(\"label\")\n",
    "tree.map_structure(lambda x: f'{x.dtype.name}{list(x.shape)}', cifar10)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "lUgvEhfJyQLZ"
   },
   "source": [
    "# Load the data into Numpy\n",
    "We compute the variance of the whole training set to normalise the Mean Squared Error below.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "9C-V2D6RSQwl"
   },
   "outputs": [],
   "source": [
    "train_data_dict = tree.map_structure(lambda x: x[:40000], cifar10)\n",
    "valid_data_dict = tree.map_structure(lambda x: x[40000:50000], cifar10)\n",
    "test_data_dict = tree.map_structure(lambda x: x[50000:], cifar10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 34
    },
    "colab_type": "code",
    "id": "cIRl2ZtxoKNz",
    "outputId": "4d590492-9381-4202-f4c2-f5d91a80b8ce"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "train data variance: 0.06327039811675479\n"
     ]
    }
   ],
   "source": [
    "def cast_and_normalise_images(data_dict):\n",
    "  \"\"\"Convert images to floating point with the range [-0.5, 0.5]\"\"\"\n",
    "  images = data_dict['image']\n",
    "  data_dict['image'] = (tf.cast(images, tf.float32) / 255.0) - 0.5\n",
    "  return data_dict\n",
    "\n",
    "train_data_variance = np.var(train_data_dict['image'] / 255.0)\n",
    "print('train data variance: %s' % train_data_variance)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "Jse__pEBAkvI"
   },
   "source": [
    "# Encoder & Decoder Architecture\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "1gwD36Vr6KqA"
   },
   "outputs": [],
   "source": [
    "class ResidualStack(snt.Module):\n",
    "  def __init__(self, num_hiddens, num_residual_layers, num_residual_hiddens,\n",
    "               name=None):\n",
    "    super(ResidualStack, self).__init__(name=name)\n",
    "    self._num_hiddens = num_hiddens\n",
    "    self._num_residual_layers = num_residual_layers\n",
    "    self._num_residual_hiddens = num_residual_hiddens\n",
    "\n",
    "    self._layers = []\n",
    "    for i in range(num_residual_layers):\n",
    "      conv3 = snt.Conv2D(\n",
    "          output_channels=num_residual_hiddens,\n",
    "          kernel_shape=(3, 3),\n",
    "          stride=(1, 1),\n",
    "          name=\"res3x3_%d\" % i)\n",
    "      conv1 = snt.Conv2D(\n",
    "          output_channels=num_hiddens,\n",
    "          kernel_shape=(1, 1),\n",
    "          stride=(1, 1),\n",
    "          name=\"res1x1_%d\" % i)\n",
    "      self._layers.append((conv3, conv1))\n",
    "\n",
    "  def __call__(self, inputs):\n",
    "    h = inputs\n",
    "    for conv3, conv1 in self._layers:\n",
    "      conv3_out = conv3(tf.nn.relu(h))\n",
    "      conv1_out = conv1(tf.nn.relu(conv3_out))\n",
    "      h += conv1_out\n",
    "    return tf.nn.relu(h)  # Resnet V1 style\n",
    "\n",
    "\n",
    "class Encoder(snt.Module):\n",
    "  def __init__(self, num_hiddens, num_residual_layers, num_residual_hiddens,\n",
    "               name=None):\n",
    "    super(Encoder, self).__init__(name=name)\n",
    "    self._num_hiddens = num_hiddens\n",
    "    self._num_residual_layers = num_residual_layers\n",
    "    self._num_residual_hiddens = num_residual_hiddens\n",
    "\n",
    "    self._enc_1 = snt.Conv2D(\n",
    "        output_channels=self._num_hiddens // 2,\n",
    "        kernel_shape=(4, 4),\n",
    "        stride=(2, 2),\n",
    "        name=\"enc_1\")\n",
    "    self._enc_2 = snt.Conv2D(\n",
    "        output_channels=self._num_hiddens,\n",
    "        kernel_shape=(4, 4),\n",
    "        stride=(2, 2),\n",
    "        name=\"enc_2\")\n",
    "    self._enc_3 = snt.Conv2D(\n",
    "        output_channels=self._num_hiddens,\n",
    "        kernel_shape=(3, 3),\n",
    "        stride=(1, 1),\n",
    "        name=\"enc_3\")\n",
    "    self._residual_stack = ResidualStack(\n",
    "        self._num_hiddens,\n",
    "        self._num_residual_layers,\n",
    "        self._num_residual_hiddens)\n",
    "\n",
    "  def __call__(self, x):\n",
    "    h = tf.nn.relu(self._enc_1(x))\n",
    "    h = tf.nn.relu(self._enc_2(h))\n",
    "    h = tf.nn.relu(self._enc_3(h))\n",
    "    return self._residual_stack(h)\n",
    "\n",
    "\n",
    "class Decoder(snt.Module):\n",
    "  def __init__(self, num_hiddens, num_residual_layers, num_residual_hiddens,\n",
    "               name=None):\n",
    "    super(Decoder, self).__init__(name=name)\n",
    "    self._num_hiddens = num_hiddens\n",
    "    self._num_residual_layers = num_residual_layers\n",
    "    self._num_residual_hiddens = num_residual_hiddens\n",
    "\n",
    "    self._dec_1 = snt.Conv2D(\n",
    "        output_channels=self._num_hiddens,\n",
    "        kernel_shape=(3, 3),\n",
    "        stride=(1, 1),\n",
    "        name=\"dec_1\")\n",
    "    self._residual_stack = ResidualStack(\n",
    "        self._num_hiddens,\n",
    "        self._num_residual_layers,\n",
    "        self._num_residual_hiddens)\n",
    "    self._dec_2 = snt.Conv2DTranspose(\n",
    "        output_channels=self._num_hiddens // 2,\n",
    "        output_shape=None,\n",
    "        kernel_shape=(4, 4),\n",
    "        stride=(2, 2),\n",
    "        name=\"dec_2\")\n",
    "    self._dec_3 = snt.Conv2DTranspose(\n",
    "        output_channels=3,\n",
    "        output_shape=None,\n",
    "        kernel_shape=(4, 4),\n",
    "        stride=(2, 2),\n",
    "        name=\"dec_3\")\n",
    "    \n",
    "  def __call__(self, x):\n",
    "    h = self._dec_1(x)\n",
    "    h = self._residual_stack(h)\n",
    "    h = tf.nn.relu(self._dec_2(h))\n",
    "    x_recon = self._dec_3(h)\n",
    "    return x_recon\n",
    "    \n",
    "\n",
    "class VQVAEModel(snt.Module):\n",
    "  def __init__(self, encoder, decoder, vqvae, pre_vq_conv1, \n",
    "               data_variance, name=None):\n",
    "    super(VQVAEModel, self).__init__(name=name)\n",
    "    self._encoder = encoder\n",
    "    self._decoder = decoder\n",
    "    self._vqvae = vqvae\n",
    "    self._pre_vq_conv1 = pre_vq_conv1\n",
    "    self._data_variance = data_variance\n",
    "\n",
    "  def __call__(self, inputs, is_training):\n",
    "    z = self._pre_vq_conv1(self._encoder(inputs))\n",
    "    vq_output = self._vqvae(z, is_training=is_training)\n",
    "    x_recon = self._decoder(vq_output['quantize'])\n",
    "    recon_error = tf.reduce_mean((x_recon - inputs) ** 2) / self._data_variance\n",
    "    loss = recon_error + vq_output['loss']\n",
    "    return {\n",
    "        'z': z,\n",
    "        'x_recon': x_recon,\n",
    "        'loss': loss,\n",
    "        'recon_error': recon_error,\n",
    "        'vq_output': vq_output,\n",
    "    }"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "FF7WaOn-s7En"
   },
   "source": [
    "# Build Model and train"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 1000
    },
    "colab_type": "code",
    "id": "owGEoOkO4ttk",
    "outputId": "0208f600-ecea-43b1-c5d3-32e9eccdeb9c"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "WARNING:tensorflow:AutoGraph could not transform <function train_step at 0x7f1016cb5f80> and will run it as-is.\n",
      "Please report this to the TensorFlow team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output.\n",
      "Cause: Unable to locate the source code of <function train_step at 0x7f1016cb5f80>. Note that functions defined in certain environments, like the interactive Python shell do not expose their source code. If that is the case, you should to define them in a .py source file. If you are certain the code is graph-compatible, wrap the call using @tf.autograph.do_not_convert. Original error: could not get source code\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING:tensorflow:AutoGraph could not transform <function train_step at 0x7f1016cb5f80> and will run it as-is.\n",
      "Please report this to the TensorFlow team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output.\n",
      "Cause: Unable to locate the source code of <function train_step at 0x7f1016cb5f80>. Note that functions defined in certain environments, like the interactive Python shell do not expose their source code. If that is the case, you should to define them in a .py source file. If you are certain the code is graph-compatible, wrap the call using @tf.autograph.do_not_convert. Original error: could not get source code\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "WARNING: AutoGraph could not transform <function train_step at 0x7f1016cb5f80> and will run it as-is.\n",
      "Please report this to the TensorFlow team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output.\n",
      "Cause: Unable to locate the source code of <function train_step at 0x7f1016cb5f80>. Note that functions defined in certain environments, like the interactive Python shell do not expose their source code. If that is the case, you should to define them in a .py source file. If you are certain the code is graph-compatible, wrap the call using @tf.autograph.do_not_convert. Original error: could not get source code\n",
      "WARNING:tensorflow:From /tmp/sonnet-nb-env/lib/python3.7/site-packages/tensorflow_core/python/ops/resource_variable_ops.py:1786: calling BaseResourceVariable.__init__ (from tensorflow.python.ops.resource_variable_ops) with constraint is deprecated and will be removed in a future version.\n",
      "Instructions for updating:\n",
      "If using Keras pass *_constraint arguments to layers.\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING:tensorflow:From /tmp/sonnet-nb-env/lib/python3.7/site-packages/tensorflow_core/python/ops/resource_variable_ops.py:1786: calling BaseResourceVariable.__init__ (from tensorflow.python.ops.resource_variable_ops) with constraint is deprecated and will be removed in a future version.\n",
      "Instructions for updating:\n",
      "If using Keras pass *_constraint arguments to layers.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "100 train loss: 0.523625 recon_error: 0.483 perplexity: 10.356 vqvae loss: 0.041\n",
      "200 train loss: 0.248232 recon_error: 0.223 perplexity: 18.294 vqvae loss: 0.026\n",
      "300 train loss: 0.215068 recon_error: 0.190 perplexity: 23.106 vqvae loss: 0.025\n",
      "400 train loss: 0.191891 recon_error: 0.164 perplexity: 29.139 vqvae loss: 0.028\n",
      "500 train loss: 0.180945 recon_error: 0.147 perplexity: 34.253 vqvae loss: 0.033\n",
      "600 train loss: 0.167115 recon_error: 0.134 perplexity: 39.961 vqvae loss: 0.033\n",
      "700 train loss: 0.157724 recon_error: 0.124 perplexity: 46.521 vqvae loss: 0.033\n",
      "800 train loss: 0.153761 recon_error: 0.119 perplexity: 53.559 vqvae loss: 0.035\n",
      "900 train loss: 0.145033 recon_error: 0.112 perplexity: 62.442 vqvae loss: 0.033\n",
      "1000 train loss: 0.137589 recon_error: 0.105 perplexity: 71.831 vqvae loss: 0.033\n",
      "1100 train loss: 0.133044 recon_error: 0.101 perplexity: 79.135 vqvae loss: 0.032\n",
      "1200 train loss: 0.129990 recon_error: 0.098 perplexity: 87.959 vqvae loss: 0.032\n",
      "1300 train loss: 0.126507 recon_error: 0.095 perplexity: 96.704 vqvae loss: 0.031\n",
      "1400 train loss: 0.122403 recon_error: 0.092 perplexity: 104.202 vqvae loss: 0.031\n",
      "1500 train loss: 0.122003 recon_error: 0.091 perplexity: 112.476 vqvae loss: 0.031\n",
      "1600 train loss: 0.120192 recon_error: 0.089 perplexity: 122.269 vqvae loss: 0.032\n",
      "1700 train loss: 0.117041 recon_error: 0.086 perplexity: 129.887 vqvae loss: 0.031\n",
      "1800 train loss: 0.115004 recon_error: 0.083 perplexity: 138.603 vqvae loss: 0.032\n",
      "1900 train loss: 0.114134 recon_error: 0.082 perplexity: 147.545 vqvae loss: 0.032\n",
      "2000 train loss: 0.112840 recon_error: 0.081 perplexity: 153.993 vqvae loss: 0.032\n",
      "2100 train loss: 0.108815 recon_error: 0.077 perplexity: 161.729 vqvae loss: 0.031\n",
      "2200 train loss: 0.108596 recon_error: 0.078 perplexity: 171.971 vqvae loss: 0.031\n",
      "2300 train loss: 0.108132 recon_error: 0.077 perplexity: 181.157 vqvae loss: 0.031\n",
      "2400 train loss: 0.106273 recon_error: 0.076 perplexity: 186.200 vqvae loss: 0.031\n",
      "2500 train loss: 0.105936 recon_error: 0.075 perplexity: 194.301 vqvae loss: 0.031\n",
      "2600 train loss: 0.103880 recon_error: 0.073 perplexity: 201.674 vqvae loss: 0.030\n",
      "2700 train loss: 0.101655 recon_error: 0.072 perplexity: 207.131 vqvae loss: 0.030\n",
      "2800 train loss: 0.102564 recon_error: 0.072 perplexity: 216.983 vqvae loss: 0.030\n",
      "2900 train loss: 0.101613 recon_error: 0.072 perplexity: 219.649 vqvae loss: 0.030\n",
      "3000 train loss: 0.101227 recon_error: 0.071 perplexity: 226.789 vqvae loss: 0.030\n",
      "3100 train loss: 0.100786 recon_error: 0.071 perplexity: 235.522 vqvae loss: 0.030\n",
      "3200 train loss: 0.100130 recon_error: 0.070 perplexity: 243.282 vqvae loss: 0.030\n",
      "3300 train loss: 0.097764 recon_error: 0.067 perplexity: 249.584 vqvae loss: 0.030\n",
      "3400 train loss: 0.100630 recon_error: 0.069 perplexity: 260.551 vqvae loss: 0.031\n",
      "3500 train loss: 0.099929 recon_error: 0.068 perplexity: 266.012 vqvae loss: 0.032\n",
      "3600 train loss: 0.099245 recon_error: 0.067 perplexity: 272.031 vqvae loss: 0.032\n",
      "3700 train loss: 0.097812 recon_error: 0.066 perplexity: 279.691 vqvae loss: 0.032\n",
      "3800 train loss: 0.097137 recon_error: 0.064 perplexity: 284.240 vqvae loss: 0.033\n",
      "3900 train loss: 0.099217 recon_error: 0.066 perplexity: 293.507 vqvae loss: 0.034\n",
      "4000 train loss: 0.098570 recon_error: 0.065 perplexity: 300.891 vqvae loss: 0.034\n",
      "4100 train loss: 0.099238 recon_error: 0.065 perplexity: 306.762 vqvae loss: 0.034\n",
      "4200 train loss: 0.098172 recon_error: 0.064 perplexity: 311.918 vqvae loss: 0.035\n",
      "4300 train loss: 0.096449 recon_error: 0.063 perplexity: 316.246 vqvae loss: 0.034\n",
      "4400 train loss: 0.096487 recon_error: 0.062 perplexity: 319.591 vqvae loss: 0.034\n",
      "4500 train loss: 0.096092 recon_error: 0.062 perplexity: 322.313 vqvae loss: 0.034\n",
      "4600 train loss: 0.096474 recon_error: 0.062 perplexity: 324.620 vqvae loss: 0.035\n",
      "4700 train loss: 0.097075 recon_error: 0.063 perplexity: 324.357 vqvae loss: 0.035\n",
      "4800 train loss: 0.094709 recon_error: 0.060 perplexity: 326.024 vqvae loss: 0.034\n",
      "4900 train loss: 0.096557 recon_error: 0.061 perplexity: 327.701 vqvae loss: 0.035\n",
      "5000 train loss: 0.096185 recon_error: 0.061 perplexity: 326.664 vqvae loss: 0.035\n",
      "5100 train loss: 0.095646 recon_error: 0.060 perplexity: 327.617 vqvae loss: 0.035\n",
      "5200 train loss: 0.094689 recon_error: 0.059 perplexity: 328.692 vqvae loss: 0.035\n",
      "5300 train loss: 0.097047 recon_error: 0.061 perplexity: 327.988 vqvae loss: 0.036\n",
      "5400 train loss: 0.096259 recon_error: 0.060 perplexity: 327.075 vqvae loss: 0.036\n",
      "5500 train loss: 0.094588 recon_error: 0.059 perplexity: 327.083 vqvae loss: 0.036\n",
      "5600 train loss: 0.095947 recon_error: 0.060 perplexity: 328.213 vqvae loss: 0.036\n",
      "5700 train loss: 0.095466 recon_error: 0.059 perplexity: 329.375 vqvae loss: 0.036\n",
      "5800 train loss: 0.094849 recon_error: 0.059 perplexity: 326.821 vqvae loss: 0.036\n",
      "5900 train loss: 0.093799 recon_error: 0.058 perplexity: 328.409 vqvae loss: 0.036\n",
      "6000 train loss: 0.095373 recon_error: 0.059 perplexity: 326.791 vqvae loss: 0.036\n",
      "6100 train loss: 0.093989 recon_error: 0.059 perplexity: 325.959 vqvae loss: 0.035\n",
      "6200 train loss: 0.095549 recon_error: 0.059 perplexity: 330.829 vqvae loss: 0.036\n",
      "6300 train loss: 0.094730 recon_error: 0.058 perplexity: 330.906 vqvae loss: 0.036\n",
      "6400 train loss: 0.095038 recon_error: 0.058 perplexity: 329.353 vqvae loss: 0.037\n",
      "6500 train loss: 0.095891 recon_error: 0.059 perplexity: 330.197 vqvae loss: 0.037\n",
      "6600 train loss: 0.094342 recon_error: 0.058 perplexity: 331.240 vqvae loss: 0.036\n",
      "6700 train loss: 0.095096 recon_error: 0.058 perplexity: 330.618 vqvae loss: 0.037\n",
      "6800 train loss: 0.095581 recon_error: 0.059 perplexity: 324.493 vqvae loss: 0.037\n",
      "6900 train loss: 0.094467 recon_error: 0.058 perplexity: 328.868 vqvae loss: 0.037\n",
      "7000 train loss: 0.092967 recon_error: 0.057 perplexity: 328.276 vqvae loss: 0.036\n",
      "7100 train loss: 0.094339 recon_error: 0.058 perplexity: 327.318 vqvae loss: 0.037\n",
      "7200 train loss: 0.095227 recon_error: 0.058 perplexity: 326.306 vqvae loss: 0.037\n",
      "7300 train loss: 0.093832 recon_error: 0.057 perplexity: 328.262 vqvae loss: 0.037\n",
      "7400 train loss: 0.093331 recon_error: 0.057 perplexity: 327.987 vqvae loss: 0.037\n",
      "7500 train loss: 0.094718 recon_error: 0.058 perplexity: 328.948 vqvae loss: 0.037\n",
      "7600 train loss: 0.094199 recon_error: 0.058 perplexity: 328.468 vqvae loss: 0.037\n",
      "7700 train loss: 0.094603 recon_error: 0.058 perplexity: 327.501 vqvae loss: 0.037\n",
      "7800 train loss: 0.092299 recon_error: 0.056 perplexity: 327.630 vqvae loss: 0.037\n",
      "7900 train loss: 0.095228 recon_error: 0.058 perplexity: 329.946 vqvae loss: 0.037\n",
      "8000 train loss: 0.094291 recon_error: 0.058 perplexity: 326.790 vqvae loss: 0.037\n",
      "8100 train loss: 0.094481 recon_error: 0.057 perplexity: 328.667 vqvae loss: 0.037\n",
      "8200 train loss: 0.093992 recon_error: 0.057 perplexity: 329.655 vqvae loss: 0.037\n",
      "8300 train loss: 0.093976 recon_error: 0.057 perplexity: 323.950 vqvae loss: 0.037\n",
      "8400 train loss: 0.093422 recon_error: 0.057 perplexity: 324.523 vqvae loss: 0.036\n",
      "8500 train loss: 0.092898 recon_error: 0.056 perplexity: 325.402 vqvae loss: 0.037\n",
      "8600 train loss: 0.094298 recon_error: 0.057 perplexity: 329.251 vqvae loss: 0.037\n",
      "8700 train loss: 0.094489 recon_error: 0.057 perplexity: 331.027 vqvae loss: 0.037\n",
      "8800 train loss: 0.093022 recon_error: 0.056 perplexity: 327.495 vqvae loss: 0.037\n",
      "8900 train loss: 0.093427 recon_error: 0.057 perplexity: 328.008 vqvae loss: 0.037\n",
      "9000 train loss: 0.094884 recon_error: 0.058 perplexity: 327.057 vqvae loss: 0.037\n",
      "9100 train loss: 0.093559 recon_error: 0.056 perplexity: 331.800 vqvae loss: 0.037\n",
      "9200 train loss: 0.093282 recon_error: 0.056 perplexity: 328.689 vqvae loss: 0.037\n",
      "9300 train loss: 0.092217 recon_error: 0.056 perplexity: 323.903 vqvae loss: 0.036\n",
      "9400 train loss: 0.093902 recon_error: 0.057 perplexity: 326.350 vqvae loss: 0.037\n",
      "9500 train loss: 0.093772 recon_error: 0.057 perplexity: 325.627 vqvae loss: 0.037\n",
      "9600 train loss: 0.093123 recon_error: 0.056 perplexity: 327.352 vqvae loss: 0.037\n",
      "9700 train loss: 0.092934 recon_error: 0.056 perplexity: 328.674 vqvae loss: 0.037\n",
      "9800 train loss: 0.093284 recon_error: 0.056 perplexity: 329.437 vqvae loss: 0.037\n",
      "9900 train loss: 0.094147 recon_error: 0.057 perplexity: 330.146 vqvae loss: 0.037\n",
      "10000 train loss: 0.092876 recon_error: 0.056 perplexity: 326.349 vqvae loss: 0.037\n",
      "CPU times: user 1h 47min 46s, sys: 14min 12s, total: 2h 1min 59s\n",
      "Wall time: 4min 29s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "\n",
    "# Set hyper-parameters.\n",
    "batch_size = 32\n",
    "image_size = 32\n",
    "\n",
    "# 100k steps should take < 30 minutes on a modern (>= 2017) GPU.\n",
    "# 10k steps gives reasonable accuracy with VQVAE on Cifar10.\n",
    "num_training_updates = 10000\n",
    "\n",
    "num_hiddens = 128\n",
    "num_residual_hiddens = 32\n",
    "num_residual_layers = 2\n",
    "# These hyper-parameters define the size of the model (number of parameters and layers).\n",
    "# The hyper-parameters in the paper were (For ImageNet):\n",
    "# batch_size = 128\n",
    "# image_size = 128\n",
    "# num_hiddens = 128\n",
    "# num_residual_hiddens = 32\n",
    "# num_residual_layers = 2\n",
    "\n",
    "# This value is not that important, usually 64 works.\n",
    "# This will not change the capacity in the information-bottleneck.\n",
    "embedding_dim = 64\n",
    "\n",
    "# The higher this value, the higher the capacity in the information bottleneck.\n",
    "num_embeddings = 512\n",
    "\n",
    "# commitment_cost should be set appropriately. It's often useful to try a couple\n",
    "# of values. It mostly depends on the scale of the reconstruction cost\n",
    "# (log p(x|z)). So if the reconstruction cost is 100x higher, the\n",
    "# commitment_cost should also be multiplied with the same amount.\n",
    "commitment_cost = 0.25\n",
    "\n",
    "# Use EMA updates for the codebook (instead of the Adam optimizer).\n",
    "# This typically converges faster, and makes the model less dependent on choice\n",
    "# of the optimizer. In the VQ-VAE paper EMA updates were not used (but was\n",
    "# developed afterwards). See Appendix of the paper for more details.\n",
    "vq_use_ema = True\n",
    "\n",
    "# This is only used for EMA updates.\n",
    "decay = 0.99\n",
    "\n",
    "learning_rate = 3e-4\n",
    "\n",
    "\n",
    "# # Data Loading.\n",
    "train_dataset = (\n",
    "    tf.data.Dataset.from_tensor_slices(train_data_dict)\n",
    "    .map(cast_and_normalise_images)\n",
    "    .shuffle(10000)\n",
    "    .repeat(-1)  # repeat indefinitely\n",
    "    .batch(batch_size, drop_remainder=True)\n",
    "    .prefetch(-1))\n",
    "\n",
    "valid_dataset = (\n",
    "    tf.data.Dataset.from_tensor_slices(valid_data_dict)\n",
    "    .map(cast_and_normalise_images)\n",
    "    .repeat(1)  # 1 epoch\n",
    "    .batch(batch_size)\n",
    "    .prefetch(-1))\n",
    "\n",
    "# # Build modules.\n",
    "encoder = Encoder(num_hiddens, num_residual_layers, num_residual_hiddens)\n",
    "decoder = Decoder(num_hiddens, num_residual_layers, num_residual_hiddens)\n",
    "pre_vq_conv1 = snt.Conv2D(output_channels=embedding_dim,\n",
    "    kernel_shape=(1, 1),\n",
    "    stride=(1, 1),\n",
    "    name=\"to_vq\")\n",
    "\n",
    "if vq_use_ema:\n",
    "  vq_vae = snt.nets.VectorQuantizerEMA(\n",
    "      embedding_dim=embedding_dim,\n",
    "      num_embeddings=num_embeddings,\n",
    "      commitment_cost=commitment_cost,\n",
    "      decay=decay)\n",
    "else:\n",
    "  vq_vae = snt.nets.VectorQuantizer(\n",
    "      embedding_dim=embedding_dim,\n",
    "      num_embeddings=num_embeddings,\n",
    "      commitment_cost=commitment_cost)\n",
    "  \n",
    "model = VQVAEModel(encoder, decoder, vq_vae, pre_vq_conv1,\n",
    "                   data_variance=train_data_variance)\n",
    "\n",
    "optimizer = snt.optimizers.Adam(learning_rate=learning_rate)\n",
    "\n",
    "@tf.function\n",
    "def train_step(data):\n",
    "  with tf.GradientTape() as tape:\n",
    "    model_output = model(data['image'], is_training=True)\n",
    "  trainable_variables = model.trainable_variables\n",
    "  grads = tape.gradient(model_output['loss'], trainable_variables)\n",
    "  optimizer.apply(grads, trainable_variables)\n",
    "\n",
    "  return model_output\n",
    "\n",
    "train_losses = []\n",
    "train_recon_errors = []\n",
    "train_perplexities = []\n",
    "train_vqvae_loss = []\n",
    "\n",
    "for step_index, data in enumerate(train_dataset):\n",
    "  train_results = train_step(data)\n",
    "  train_losses.append(train_results['loss'])\n",
    "  train_recon_errors.append(train_results['recon_error'])\n",
    "  train_perplexities.append(train_results['vq_output']['perplexity'])\n",
    "  train_vqvae_loss.append(train_results['vq_output']['loss'])\n",
    "\n",
    "  if (step_index + 1) % 100 == 0:\n",
    "    print('%d train loss: %f ' % (step_index + 1,\n",
    "                                   np.mean(train_losses[-100:])) +\n",
    "          ('recon_error: %.3f ' % np.mean(train_recon_errors[-100:])) +\n",
    "          ('perplexity: %.3f ' % np.mean(train_perplexities[-100:])) +\n",
    "          ('vqvae loss: %.3f' % np.mean(train_vqvae_loss[-100:])))\n",
    "  if step_index == num_training_updates:\n",
    "    break"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "m2hNyAnhs-1f"
   },
   "source": [
    "# Plot loss"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 516
    },
    "colab_type": "code",
    "id": "2vo-lDyRomKD",
    "outputId": "47aab497-c2f2-4052-b1da-cfbe5bfbe865"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Average codebook usage (perplexity).')"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1152x576 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "f = plt.figure(figsize=(16,8))\n",
    "ax = f.add_subplot(1,2,1)\n",
    "ax.plot(train_recon_errors)\n",
    "ax.set_yscale('log')\n",
    "ax.set_title('NMSE.')\n",
    "\n",
    "ax = f.add_subplot(1,2,2)\n",
    "ax.plot(train_perplexities)\n",
    "ax.set_title('Average codebook usage (perplexity).')\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "Lyj1CCKptCZz"
   },
   "source": [
    "# View reconstructions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 533
    },
    "colab_type": "code",
    "id": "rM9zj7ZiPZBG",
    "outputId": "8ba98679-0ccc-4ba2-a1b4-907a51f607ac"
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING:matplotlib.image:Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n",
      "WARNING:matplotlib.image:Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "(-0.5, 255.5, 127.5, -0.5)"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1152x576 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Reconstructions\n",
    "train_batch = next(iter(train_dataset))\n",
    "valid_batch = next(iter(valid_dataset))\n",
    "\n",
    "# Put data through the model with is_training=False, so that in the case of \n",
    "# using EMA the codebook is not updated.\n",
    "train_reconstructions = model(train_batch['image'],\n",
    "                              is_training=False)['x_recon'].numpy()\n",
    "valid_reconstructions = model(valid_batch['image'],\n",
    "                              is_training=False)['x_recon'].numpy()\n",
    "\n",
    "\n",
    "def convert_batch_to_image_grid(image_batch):\n",
    "  reshaped = (image_batch.reshape(4, 8, 32, 32, 3)\n",
    "              .transpose(0, 2, 1, 3, 4)\n",
    "              .reshape(4 * 32, 8 * 32, 3))\n",
    "  return reshaped + 0.5\n",
    "\n",
    "\n",
    "\n",
    "f = plt.figure(figsize=(16,8))\n",
    "ax = f.add_subplot(2,2,1)\n",
    "ax.imshow(convert_batch_to_image_grid(train_batch['image'].numpy()),\n",
    "          interpolation='nearest')\n",
    "ax.set_title('training data originals')\n",
    "plt.axis('off')\n",
    "\n",
    "ax = f.add_subplot(2,2,2)\n",
    "ax.imshow(convert_batch_to_image_grid(train_reconstructions),\n",
    "          interpolation='nearest')\n",
    "ax.set_title('training data reconstructions')\n",
    "plt.axis('off')\n",
    "\n",
    "ax = f.add_subplot(2,2,3)\n",
    "ax.imshow(convert_batch_to_image_grid(valid_batch['image'].numpy()),\n",
    "          interpolation='nearest')\n",
    "ax.set_title('validation data originals')\n",
    "plt.axis('off')\n",
    "\n",
    "ax = f.add_subplot(2,2,4)\n",
    "ax.imshow(convert_batch_to_image_grid(valid_reconstructions),\n",
    "          interpolation='nearest')\n",
    "ax.set_title('validation data reconstructions')\n",
    "plt.axis('off')"
   ]
  }
 ],
 "metadata": {
  "accelerator": "GPU",
  "colab": {
   "collapsed_sections": [],
   "name": "TF2_VQ_VAE_training_example.ipynb",
   "provenance": []
  },
  "kernelspec": {
   "display_name": "Python 3",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.6"
  },
  "widgets": {
   "application/vnd.jupyter.widget-state+json": {
    "state": {
     "00a640f960744579a63f30d7e61837c4": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "HTMLModel",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HTMLModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HTMLView",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_9ca42d6547c64311b1156142caf73c91",
       "placeholder": "​",
       "style": "IPY_MODEL_5387493f8b574b56954240e78d876d8f",
       "value": " 0/0 [00:00&lt;?, ? MiB/s]"
      }
     },
     "030005c3a52d4e6f82615b727d9234bd": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "HBoxModel",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HBoxModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HBoxView",
       "box_style": "",
       "children": [
        "IPY_MODEL_237a38f3fd0846c1bac1fcb6295fc4e9",
        "IPY_MODEL_b5e4f8c518504149aaa2be0262804143"
       ],
       "layout": "IPY_MODEL_64160543e7954c4b81eed5d1e943b68c"
      }
     },
     "0f03e9a4f7c2447a8bd7d08fa3127655": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "FloatProgressModel",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "FloatProgressModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "ProgressView",
       "bar_style": "success",
       "description": "Dl Completed...: ",
       "description_tooltip": null,
       "layout": "IPY_MODEL_62235fc6bbfe4f6db6a7f1a6d6ed18f2",
       "max": 1.0,
       "min": 0.0,
       "orientation": "horizontal",
       "style": "IPY_MODEL_45e0726050d249ffaea57c16b7655946",
       "value": 0.0
      }
     },
     "237a38f3fd0846c1bac1fcb6295fc4e9": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "FloatProgressModel",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "FloatProgressModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "ProgressView",
       "bar_style": "success",
       "description": "Extraction completed...: ",
       "description_tooltip": null,
       "layout": "IPY_MODEL_a1b8844fe3ad4d08bc434d92c62f1cbe",
       "max": 1.0,
       "min": 0.0,
       "orientation": "horizontal",
       "style": "IPY_MODEL_a4521605bfc9403b8dc32c21cdd9d55b",
       "value": 0.0
      }
     },
     "267b37f12bc145d38224d0a4c59c987c": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "ProgressStyleModel",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "ProgressStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "bar_color": null,
       "description_width": "initial"
      }
     },
     "2758f9b231ae40899210407e66a1bd40": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.2.0",
      "model_name": "LayoutModel",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "2ad4f36074a94ae8b5e0bcd22e072f70": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "HBoxModel",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HBoxModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HBoxView",
       "box_style": "",
       "children": [
        "IPY_MODEL_bf11f99ee0a74f1a988c9e5f56c0dff3",
        "IPY_MODEL_30da0090afc04341b5c80c2cf94384b4"
       ],
       "layout": "IPY_MODEL_3f0ae4a43f3f41b4bc4406108ec7291a"
      }
     },
     "30da0090afc04341b5c80c2cf94384b4": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "HTMLModel",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HTMLModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HTMLView",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_d76a99aed0534570bbf9b2ab73ed9d39",
       "placeholder": "​",
       "style": "IPY_MODEL_c21fdf120e3f4ec09ee396e848ec8630",
       "value": " 10000/0 [00:06&lt;00:00, 1668.80 examples/s]"
      }
     },
     "3a08302c69514afba1934f6475737397": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "HTMLModel",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HTMLModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HTMLView",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_6407c4a2a79a4efca9785dd96c069b4c",
       "placeholder": "​",
       "style": "IPY_MODEL_fcc716d80f6345ca8d9623a7d8a4e85a",
       "value": " 0/0 [00:00&lt;?, ? url/s]"
      }
     },
     "3f0ae4a43f3f41b4bc4406108ec7291a": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.2.0",
      "model_name": "LayoutModel",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "4276da9ba50e48ab9a1b218085764e34": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "ProgressStyleModel",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "ProgressStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "bar_color": null,
       "description_width": "initial"
      }
     },
     "44a7f5fe14424d2cbb5a4f3c521e33cf": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "ProgressStyleModel",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "ProgressStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "bar_color": null,
       "description_width": "initial"
      }
     },
     "45e0726050d249ffaea57c16b7655946": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "ProgressStyleModel",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "ProgressStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "bar_color": null,
       "description_width": "initial"
      }
     },
     "4e796662246d4229acdee5850ce64405": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.2.0",
      "model_name": "LayoutModel",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "50a5e80086fd4f34ae81f5e8da9f9333": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "ProgressStyleModel",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "ProgressStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "bar_color": null,
       "description_width": "initial"
      }
     },
     "5207e75e672f4a3a8fa7d158539c02c8": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "HBoxModel",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HBoxModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HBoxView",
       "box_style": "",
       "children": [
        "IPY_MODEL_0f03e9a4f7c2447a8bd7d08fa3127655",
        "IPY_MODEL_3a08302c69514afba1934f6475737397"
       ],
       "layout": "IPY_MODEL_bb0a3b1e948e4a21a3922652705159fe"
      }
     },
     "5387493f8b574b56954240e78d876d8f": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "DescriptionStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "description_width": ""
      }
     },
     "54cf8fd1ae5a448693baf588194fbfa0": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "HBoxModel",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HBoxModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HBoxView",
       "box_style": "",
       "children": [
        "IPY_MODEL_8d58fa285b19459fbea0efa476a4a577",
        "IPY_MODEL_bfa04142613c4c658ebf20c65da4360e"
       ],
       "layout": "IPY_MODEL_4e796662246d4229acdee5850ce64405"
      }
     },
     "62235fc6bbfe4f6db6a7f1a6d6ed18f2": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.2.0",
      "model_name": "LayoutModel",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "6337f911938942cb888a2056ef4115ce": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.2.0",
      "model_name": "LayoutModel",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "6407c4a2a79a4efca9785dd96c069b4c": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.2.0",
      "model_name": "LayoutModel",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "64160543e7954c4b81eed5d1e943b68c": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.2.0",
      "model_name": "LayoutModel",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "64672cb5e965471881bd2da3078e63c1": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "HBoxModel",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HBoxModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HBoxView",
       "box_style": "",
       "children": [
        "IPY_MODEL_bdf77430a1e54af0b7edbbbaacb8e234",
        "IPY_MODEL_81bd4784bfde47f89d5770160649e69d"
       ],
       "layout": "IPY_MODEL_a344044558404f7a83f1e389cb606958"
      }
     },
     "6ab2bd198da24a5a87c7ea1d404a47dd": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.2.0",
      "model_name": "LayoutModel",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "6f481dd0f52d4df0a13df36adf3b5f0e": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.2.0",
      "model_name": "LayoutModel",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "7900c1a3bbec4ab4a5d8bbf3976bd2c0": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "HBoxModel",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HBoxModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HBoxView",
       "box_style": "",
       "children": [
        "IPY_MODEL_a1686659229a43118f7b71340c6f02d4",
        "IPY_MODEL_00a640f960744579a63f30d7e61837c4"
       ],
       "layout": "IPY_MODEL_ccc2fa3cc33942d8b464f947b525aeb8"
      }
     },
     "801f6cd9eb6642429ed8e3020d335db4": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.2.0",
      "model_name": "LayoutModel",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "81bd4784bfde47f89d5770160649e69d": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "HTMLModel",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HTMLModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HTMLView",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_e01b0a8160234e849a9da58afdb9c8ca",
       "placeholder": "​",
       "style": "IPY_MODEL_9a3950f2dc21480c9efe6d0c5a8988c5",
       "value": " 50000/0 [00:30&lt;00:00, 1676.83 examples/s]"
      }
     },
     "84c8f0362d554463959e93ce8e82e332": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "HBoxModel",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HBoxModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HBoxView",
       "box_style": "",
       "children": [
        "IPY_MODEL_ebd4b63e7a4f4654858e38c97533bc55",
        "IPY_MODEL_ea9e592b7d7145f191453be6f4bcae46"
       ],
       "layout": "IPY_MODEL_2758f9b231ae40899210407e66a1bd40"
      }
     },
     "854ddf758f764ac0a53dde8dc6e448e5": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.2.0",
      "model_name": "LayoutModel",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "8d58fa285b19459fbea0efa476a4a577": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "FloatProgressModel",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "FloatProgressModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "ProgressView",
       "bar_style": "danger",
       "description": "100%",
       "description_tooltip": null,
       "layout": "IPY_MODEL_6337f911938942cb888a2056ef4115ce",
       "max": 50000.0,
       "min": 0.0,
       "orientation": "horizontal",
       "style": "IPY_MODEL_44a7f5fe14424d2cbb5a4f3c521e33cf",
       "value": 49999.0
      }
     },
     "970e7fb38822400395e6674a42f07213": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "ProgressStyleModel",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "ProgressStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "bar_color": null,
       "description_width": "initial"
      }
     },
     "9a3950f2dc21480c9efe6d0c5a8988c5": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "DescriptionStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "description_width": ""
      }
     },
     "9ca42d6547c64311b1156142caf73c91": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.2.0",
      "model_name": "LayoutModel",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "a1686659229a43118f7b71340c6f02d4": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "FloatProgressModel",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "FloatProgressModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "ProgressView",
       "bar_style": "success",
       "description": "Dl Size...: ",
       "description_tooltip": null,
       "layout": "IPY_MODEL_6ab2bd198da24a5a87c7ea1d404a47dd",
       "max": 1.0,
       "min": 0.0,
       "orientation": "horizontal",
       "style": "IPY_MODEL_970e7fb38822400395e6674a42f07213",
       "value": 0.0
      }
     },
     "a1b8844fe3ad4d08bc434d92c62f1cbe": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.2.0",
      "model_name": "LayoutModel",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "a344044558404f7a83f1e389cb606958": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.2.0",
      "model_name": "LayoutModel",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "a4521605bfc9403b8dc32c21cdd9d55b": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "ProgressStyleModel",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "ProgressStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "bar_color": null,
       "description_width": "initial"
      }
     },
     "a8cd42db14e647d897fe869e8e47a54f": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.2.0",
      "model_name": "LayoutModel",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "b192ee599f1a429b9ca73c713e2d9aa7": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "DescriptionStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "description_width": ""
      }
     },
     "b5e4f8c518504149aaa2be0262804143": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "HTMLModel",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HTMLModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HTMLView",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_b9442fafcebe478da9cb0486a3cd4bdc",
       "placeholder": "​",
       "style": "IPY_MODEL_d48f0b8d2fc84dc8977d944df482c66a",
       "value": " 0/0 [00:00&lt;?, ? file/s]"
      }
     },
     "b9442fafcebe478da9cb0486a3cd4bdc": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.2.0",
      "model_name": "LayoutModel",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "bb0a3b1e948e4a21a3922652705159fe": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.2.0",
      "model_name": "LayoutModel",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "bd8f2e96c0b24222aac0acf4e5dab0e3": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "DescriptionStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "description_width": ""
      }
     },
     "bdf77430a1e54af0b7edbbbaacb8e234": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "FloatProgressModel",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "FloatProgressModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "ProgressView",
       "bar_style": "info",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_854ddf758f764ac0a53dde8dc6e448e5",
       "max": 1.0,
       "min": 0.0,
       "orientation": "horizontal",
       "style": "IPY_MODEL_267b37f12bc145d38224d0a4c59c987c",
       "value": 1.0
      }
     },
     "bf11f99ee0a74f1a988c9e5f56c0dff3": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "FloatProgressModel",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "FloatProgressModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "ProgressView",
       "bar_style": "info",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_6f481dd0f52d4df0a13df36adf3b5f0e",
       "max": 1.0,
       "min": 0.0,
       "orientation": "horizontal",
       "style": "IPY_MODEL_4276da9ba50e48ab9a1b218085764e34",
       "value": 1.0
      }
     },
     "bfa04142613c4c658ebf20c65da4360e": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "HTMLModel",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HTMLModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HTMLView",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_a8cd42db14e647d897fe869e8e47a54f",
       "placeholder": "​",
       "style": "IPY_MODEL_b192ee599f1a429b9ca73c713e2d9aa7",
       "value": " 49999/50000 [00:00&lt;00:00, 94821.94 examples/s]"
      }
     },
     "c21fdf120e3f4ec09ee396e848ec8630": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "DescriptionStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "description_width": ""
      }
     },
     "cbf776079db64c8cbbb022f616196cd5": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.2.0",
      "model_name": "LayoutModel",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "ccc2fa3cc33942d8b464f947b525aeb8": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.2.0",
      "model_name": "LayoutModel",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "d48f0b8d2fc84dc8977d944df482c66a": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "DescriptionStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "description_width": ""
      }
     },
     "d76a99aed0534570bbf9b2ab73ed9d39": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.2.0",
      "model_name": "LayoutModel",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "e01b0a8160234e849a9da58afdb9c8ca": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.2.0",
      "model_name": "LayoutModel",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "ea9e592b7d7145f191453be6f4bcae46": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "HTMLModel",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "HTMLModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "HTMLView",
       "description": "",
       "description_tooltip": null,
       "layout": "IPY_MODEL_801f6cd9eb6642429ed8e3020d335db4",
       "placeholder": "​",
       "style": "IPY_MODEL_bd8f2e96c0b24222aac0acf4e5dab0e3",
       "value": " 9999/10000 [00:00&lt;00:00, 97906.75 examples/s]"
      }
     },
     "ebd4b63e7a4f4654858e38c97533bc55": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "FloatProgressModel",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "FloatProgressModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/controls",
       "_view_module_version": "1.5.0",
       "_view_name": "ProgressView",
       "bar_style": "danger",
       "description": "100%",
       "description_tooltip": null,
       "layout": "IPY_MODEL_cbf776079db64c8cbbb022f616196cd5",
       "max": 10000.0,
       "min": 0.0,
       "orientation": "horizontal",
       "style": "IPY_MODEL_50a5e80086fd4f34ae81f5e8da9f9333",
       "value": 9999.0
      }
     },
     "fcc716d80f6345ca8d9623a7d8a4e85a": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "_model_module": "@jupyter-widgets/controls",
       "_model_module_version": "1.5.0",
       "_model_name": "DescriptionStyleModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "StyleView",
       "description_width": ""
      }
     }
    },
    "version_major": 2,
    "version_minor": 0
   }
  }
 },
 "nbformat": 4,
 "nbformat_minor": 0
}
